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Pediatric head injury in the emergency department: balancing radiation risk, missed diagnoses, and decision-rule evolution
Journal article   Open access   Peer reviewed

Pediatric head injury in the emergency department: balancing radiation risk, missed diagnoses, and decision-rule evolution

Khaled Abouelmagd, Yousra Anwar, Katie Sandhovel, Mariam Mohamed Mousa, Salma Aboushama, Aanal Patel, Siham Alshawamreh, Ali Khan and Mohammed Alsabri
International journal of emergency medicine, v 19(1), 177
04 Jul 2026
DOI: https://doi.org/10.1186/s12245-026-01267-1
PMID: 42399754
Featured in Collection :   Drexel's Newest Publications
url
https://doi.org/10.1186/s12245-026-01267-1View
Published, Version of Record (VoR) Open

Abstract

Computed tomography utilization PECARN decision rule Pediatric head injury Radiation risk Traumatic brain injury (ciTBI)
<p>Background Pediatric head injury is a frequent cause of emergency department neuroimaging worldwide and a major contributor to health care utilization. Although most children with minor head trauma do not sustain clinically important traumatic brain injury (ciTBI), the risk of acute complications necessitates accurate risk stratification. A central challenge is balancing the need to reliably exclude ciTBI against the potential harms of ionizing radiation. Despite high-sensitivity clinical decision rules, computed tomography (CT) remains the dominant imaging modality, with utilization rates approaching 40% in some settings. Current research focuses on AI-based triage tools, enhanced injury registries, and international efforts to standardize imaging thresholds. Methods A narrative literature review evaluated trends in CT utilization in pediatric head trauma, AI-based triage tools, and the emergence of rapid MRI. Findings are extrapolated from recent years and compared with historical data. Only peer-reviewed, English-language studies were included. Key findings The implementation of validated clinical decision rules - primarily PECARN - has contributed to a > 25% decline in unnecessary CT utilization in the pediatric head trauma population over the past decade. This reduction is attributed to the widespread adoption of evidence-based risk stratification, structured observation pathways, and parent-shared decision aids, which together maintain a high negative predictive value (NPV) > 99.9%. Emerging technologies including AI triage tools and rapid MRI are promising adjuncts but are not yet established standards of care. Conclusion The PECARN algorithm with explicit age stratification safely reduces unnecessary neuroimaging, with no increase in readmissions for missed bleeding. Best practice involves applying PECARN criteria alongside careful clinical observation, shared decision-making, and the use of ultra-low CT or rapid MRI when imaging is indicated.</p>

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